Pandas Profiling Report

Dataset statistics

Number of variables	50
Number of observations	229
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	89.6 KiB
Average record size in memory	400.6 B

Variable types

Categorical	35
Numeric	15

Alerts

`Net Official Development Assist. received (% of GNI)` has constant value "-99"	Constant
`country` has a high cardinality: 229 distinct values	High cardinality
`Surface area (km2)` has a high cardinality: 225 distinct values	High cardinality
`GDP growth rate (annual %, const. 2005 prices)` has a high cardinality: 91 distinct values	High cardinality
`Economy: Agriculture (% of GVA)` has a high cardinality: 139 distinct values	High cardinality
`Employment: Agriculture (% of employed)` has a high cardinality: 160 distinct values	High cardinality
`Employment: Industry (% of employed)` has a high cardinality: 139 distinct values	High cardinality
`Employment: Services (% of employed)` has a high cardinality: 165 distinct values	High cardinality
`Unemployment (% of labour force)` has a high cardinality: 129 distinct values	High cardinality
`Labour force participation (female/male pop. %)` has a high cardinality: 202 distinct values	High cardinality
`International trade: Exports (million US$)` has a high cardinality: 206 distinct values	High cardinality
`International trade: Imports (million US$)` has a high cardinality: 210 distinct values	High cardinality
`International trade: Balance (million US$)` has a high cardinality: 211 distinct values	High cardinality
`Balance of payments, current account (million US$)` has a high cardinality: 178 distinct values	High cardinality
`Population growth rate (average annual %)` has a high cardinality: 58 distinct values	High cardinality
`Urban population growth rate (average annual %)` has a high cardinality: 64 distinct values	High cardinality
`Fertility rate, total (live births per woman)` has a high cardinality: 51 distinct values	High cardinality
`Life expectancy at birth (females/males, years)` has a high cardinality: 211 distinct values	High cardinality
`Population age distribution (0-14 / 60+ years, %)` has a high cardinality: 221 distinct values	High cardinality
`International migrant stock (000/% of total pop.)` has a high cardinality: 229 distinct values	High cardinality
`Refugees and others of concern to UNHCR (in thousands)` has a high cardinality: 140 distinct values	High cardinality
`Infant mortality rate (per 1000 live births` has a high cardinality: 157 distinct values	High cardinality
`Education: Government expenditure (% of GDP)` has a high cardinality: 63 distinct values	High cardinality
`Education: Primary gross enrol. ratio (f/m per 100 pop.)` has a high cardinality: 187 distinct values	High cardinality
`Education: Secondary gross enrol. ratio (f/m per 100 pop.)` has a high cardinality: 176 distinct values	High cardinality
`Education: Tertiary gross enrol. ratio (f/m per 100 pop.)` has a high cardinality: 160 distinct values	High cardinality
`Mobile-cellular subscriptions (per 100 inhabitants)` has a high cardinality: 196 distinct values	High cardinality
`Mobile-cellular subscriptions (per 100 inhabitants).1` has a high cardinality: 195 distinct values	High cardinality
`Threatened species (number)` has a high cardinality: 194 distinct values	High cardinality
`Forested area (% of land area)` has a high cardinality: 214 distinct values	High cardinality
`Energy supply per capita (Gigajoules)` has a high cardinality: 163 distinct values	High cardinality
`Pop. using improved drinking water (urban/rural, %)` has a high cardinality: 186 distinct values	High cardinality
`Pop. using improved sanitation facilities (urban/rural, %)` has a high cardinality: 120 distinct values	High cardinality
`Population in thousands (2017)` is highly correlated with `GDP: Gross domestic product (million current US$)` and 3 other fields	High correlation
`GDP: Gross domestic product (million current US$)` is highly correlated with `Population in thousands (2017)` and 3 other fields	High correlation
`GDP per capita (current US$)` is highly correlated with `Economy: Services and other activity (% of GVA)` and 2 other fields	High correlation
`Economy: Industry (% of GVA)` is highly correlated with `Population in thousands (2017)` and 2 other fields	High correlation
`Economy: Services and other activity (% of GVA)` is highly correlated with `GDP per capita (current US$)`	High correlation
`Agricultural production index (2004-2006=100)` is highly correlated with `Food production index (2004-2006=100)`	High correlation
`Food production index (2004-2006=100)` is highly correlated with `Agricultural production index (2004-2006=100)`	High correlation
`Urban population (% of total population)` is highly correlated with `GDP per capita (current US$)` and 1 other fields	High correlation
`Health: Total expenditure (% of GDP)` is highly correlated with `Seats held by women in national parliaments %`	High correlation
`Seats held by women in national parliaments %` is highly correlated with `GDP: Gross domestic product (million current US$)` and 2 other fields	High correlation
`Individuals using the Internet (per 100 inhabitants)` is highly correlated with `Population in thousands (2017)`	High correlation
`CO2 emission estimates (million tons/tons per capita)` is highly correlated with `Population in thousands (2017)` and 3 other fields	High correlation
`Energy production, primary (Petajoules)` is highly correlated with `GDP per capita (current US$)` and 1 other fields	High correlation
`Population in thousands (2017)` is highly correlated with `GDP: Gross domestic product (million current US$)` and 1 other fields	High correlation
`GDP: Gross domestic product (million current US$)` is highly correlated with `Population in thousands (2017)` and 1 other fields	High correlation
`Economy: Industry (% of GVA)` is highly correlated with `Economy: Services and other activity (% of GVA)` and 2 other fields	High correlation
`Economy: Services and other activity (% of GVA)` is highly correlated with `Economy: Industry (% of GVA)` and 2 other fields	High correlation
`Agricultural production index (2004-2006=100)` is highly correlated with `Food production index (2004-2006=100)`	High correlation
`Food production index (2004-2006=100)` is highly correlated with `Agricultural production index (2004-2006=100)`	High correlation
`Health: Total expenditure (% of GDP)` is highly correlated with `Economy: Industry (% of GVA)` and 2 other fields	High correlation
`Seats held by women in national parliaments %` is highly correlated with `Economy: Industry (% of GVA)` and 2 other fields	High correlation
`CO2 emission estimates (million tons/tons per capita)` is highly correlated with `Population in thousands (2017)` and 1 other fields	High correlation
`Population in thousands (2017)` is highly correlated with `GDP: Gross domestic product (million current US$)` and 1 other fields	High correlation
`GDP: Gross domestic product (million current US$)` is highly correlated with `Population in thousands (2017)` and 1 other fields	High correlation
`GDP per capita (current US$)` is highly correlated with `Economy: Services and other activity (% of GVA)` and 1 other fields	High correlation
`Economy: Services and other activity (% of GVA)` is highly correlated with `GDP per capita (current US$)`	High correlation
`Agricultural production index (2004-2006=100)` is highly correlated with `Food production index (2004-2006=100)`	High correlation
`Food production index (2004-2006=100)` is highly correlated with `Agricultural production index (2004-2006=100)`	High correlation
`CO2 emission estimates (million tons/tons per capita)` is highly correlated with `Population in thousands (2017)` and 1 other fields	High correlation
`Energy production, primary (Petajoules)` is highly correlated with `GDP per capita (current US$)`	High correlation
`Health: Physicians (per 1000 pop.)` is highly correlated with `Net Official Development Assist. received (% of GNI)`	High correlation
`Education: Government expenditure (% of GDP)` is highly correlated with `Net Official Development Assist. received (% of GNI)`	High correlation
`Net Official Development Assist. received (% of GNI)` is highly correlated with `Health: Physicians (per 1000 pop.)` and 6 other fields	High correlation
`Fertility rate, total (live births per woman)` is highly correlated with `Net Official Development Assist. received (% of GNI)`	High correlation
`GDP growth rate (annual %, const. 2005 prices)` is highly correlated with `Net Official Development Assist. received (% of GNI)`	High correlation
`Urban population growth rate (average annual %)` is highly correlated with `Net Official Development Assist. received (% of GNI)`	High correlation
`Region` is highly correlated with `Net Official Development Assist. received (% of GNI)`	High correlation
`Population growth rate (average annual %)` is highly correlated with `Net Official Development Assist. received (% of GNI)`	High correlation
`Region` is highly correlated with `GDP per capita (current US$)` and 9 other fields	High correlation
`Population in thousands (2017)` is highly correlated with `GDP: Gross domestic product (million current US$)` and 4 other fields	High correlation
`Population density (per km2, 2017)` is highly correlated with `GDP per capita (current US$)` and 1 other fields	High correlation
`Sex ratio (m per 100 f, 2017)` is highly correlated with `Population growth rate (average annual %)` and 3 other fields	High correlation
`GDP: Gross domestic product (million current US$)` is highly correlated with `Population in thousands (2017)` and 3 other fields	High correlation
`GDP growth rate (annual %, const. 2005 prices)` is highly correlated with `Economy: Industry (% of GVA)` and 8 other fields	High correlation
`GDP per capita (current US$)` is highly correlated with `Region` and 4 other fields	High correlation
`Economy: Industry (% of GVA)` is highly correlated with `Region` and 6 other fields	High correlation
`Economy: Services and other activity (% of GVA)` is highly correlated with `Region` and 6 other fields	High correlation
`Agricultural production index (2004-2006=100)` is highly correlated with `Food production index (2004-2006=100)` and 1 other fields	High correlation
`Food production index (2004-2006=100)` is highly correlated with `Agricultural production index (2004-2006=100)` and 1 other fields	High correlation
`Population growth rate (average annual %)` is highly correlated with `Region` and 7 other fields	High correlation
`Urban population (% of total population)` is highly correlated with `Region` and 4 other fields	High correlation
`Urban population growth rate (average annual %)` is highly correlated with `Region` and 8 other fields	High correlation
`Fertility rate, total (live births per woman)` is highly correlated with `Region` and 8 other fields	High correlation
`Health: Total expenditure (% of GDP)` is highly correlated with `Region` and 7 other fields	High correlation
`Health: Physicians (per 1000 pop.)` is highly correlated with `Region` and 13 other fields	High correlation
`Education: Government expenditure (% of GDP)` is highly correlated with `Population in thousands (2017)` and 7 other fields	High correlation
`Seats held by women in national parliaments %` is highly correlated with `Region` and 6 other fields	High correlation
`Individuals using the Internet (per 100 inhabitants)` is highly correlated with `Population in thousands (2017)` and 5 other fields	High correlation
`CO2 emission estimates (million tons/tons per capita)` is highly correlated with `Population in thousands (2017)` and 4 other fields	High correlation
`Energy production, primary (Petajoules)` is highly correlated with `Sex ratio (m per 100 f, 2017)` and 5 other fields	High correlation
`country` is uniformly distributed	Uniform
`Surface area (km2)` is uniformly distributed	Uniform
`Life expectancy at birth (females/males, years)` is uniformly distributed	Uniform
`Population age distribution (0-14 / 60+ years, %)` is uniformly distributed	Uniform
`International migrant stock (000/% of total pop.)` is uniformly distributed	Uniform
`Threatened species (number)` is uniformly distributed	Uniform
`Forested area (% of land area)` is uniformly distributed	Uniform
`country` has unique values	Unique
`International migrant stock (000/% of total pop.)` has unique values	Unique
`Seats held by women in national parliaments %` has 4 (1.7%) zeros	Zeros
`CO2 emission estimates (million tons/tons per capita)` has 23 (10.0%) zeros	Zeros

Reproduction

Analysis started	2021-10-31 03:10:21.497511
Analysis finished	2021-10-31 03:11:22.043280
Duration	1 minute and 0.55 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

country
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	229
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

Guatemala	1
Guinea-Bissau	1
Uganda	1
Democratic Republic of the Congo	1
Ecuador	1
Other values (224)	224

Length

Max length	41
Median length	8
Mean length	10.59388646
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	229 ?
Unique (%)	100.0%

Sample

1st row	Afghanistan
2nd row	Albania
3rd row	Algeria
4th row	American Samoa
5th row	Andorra

Common Values

Value	Count	Frequency (%)
Guatemala	1	0.4%
Guinea-Bissau	1	0.4%
Uganda	1	0.4%
Democratic Republic of the Congo	1	0.4%
Ecuador	1	0.4%
Congo	1	0.4%
Fiji	1	0.4%
Uruguay	1	0.4%
Brazil	1	0.4%
Tokelau	1	0.4%
Other values (219)	219	95.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	13	3.6%
republic	12	3.4%
islands	12	3.4%
and	10	2.8%
united	5	1.4%
saint	5	1.4%
china	3	0.8%
democratic	3	0.8%
the	3	0.8%
states	3	0.8%
Other values (272)	288	80.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Region
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	22
Distinct (%)	9.6%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

Caribbean	25
EasternAfrica	19
WesternAsia	18
SouthernEurope	16
WesternAfrica	16
Other values (17)	135

Length

Max length	17
Median length	13
Mean length	12.22270742
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SouthernAsia
2nd row	SouthernEurope
3rd row	NorthernAfrica
4th row	Polynesia
5th row	SouthernEurope

Common Values

Value	Count	Frequency (%)
Caribbean	25	10.9%
EasternAfrica	19	8.3%
WesternAsia	18	7.9%
SouthernEurope	16	7.0%
WesternAfrica	16	7.0%
SouthAmerica	14	6.1%
NorthernEurope	13	5.7%
South-easternAsia	11	4.8%
EasternEurope	10	4.4%
SouthernAsia	9	3.9%
Other values (12)	78	34.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
caribbean	25	10.9%
easternafrica	19	8.3%
westernasia	18	7.9%
southerneurope	16	7.0%
westernafrica	16	7.0%
southamerica	14	6.1%
northerneurope	13	5.7%
south-easternasia	11	4.8%
easterneurope	10	4.4%
polynesia	9	3.9%
Other values (12)	78	34.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Surface area (km2)
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	225
Distinct (%)	98.3%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	3
180	2
457	2
142600	1
622984	1
Other values (220)	220

Length

Max length	8
Median length	5
Mean length	5.03930131
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	222 ?
Unique (%)	96.9%

Sample

1st row	652864
2nd row	28748
3rd row	2381741
4th row	199
5th row	468

Common Values

Value	Count	Frequency (%)
-99	3	1.3%
180	2	0.9%
457	2	0.9%
142600	1	0.4%
622984	1	0.4%
11295	1	0.4%
587295	1	0.4%
549	1	0.4%
181	1	0.4%
389	1	0.4%
Other values (215)	215	93.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	3	1.3%
457	2	0.9%
180	2	0.9%
947303	1	0.4%
245857	1	0.4%
1564116	1	0.4%
173626	1	0.4%
1002000	1	0.4%
1628750	1	0.4%
1676198	1	0.4%
Other values (215)	215	93.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Population in thousands (2017)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	218
Distinct (%)	95.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32756.79476

Minimum	1
Maximum	1409517
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	1
5-th percentile	19
Q1	431
median	5448
Q3	19193
95-th percentile	104941.4
Maximum	1409517
Range	1409516
Interquartile range (IQR)	18762

Descriptive statistics

Standard deviation	133275.0799
Coefficient of variation (CV)	4.068623957
Kurtosis	90.00303607
Mean	32756.79476
Median Absolute Deviation (MAD)	5364
Skewness	9.146352204
Sum	7501306
Variance	1.776224693 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	2	0.9%
35	2	0.9%
276	2	0.9%
2890	2	0.9%
283	2	0.9%
2930	2	0.9%
105	2	0.9%
56	2	0.9%
55	2	0.9%
108	2	0.9%
Other values (208)	209	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	0.9%
2	1	0.4%
3	1	0.4%
4	1	0.4%
5	1	0.4%
6	1	0.4%
11	2	0.9%
12	1	0.4%
15	1	0.4%
17	1	0.4%

Value	Count	Frequency (%)
1409517	1	0.4%
1339180	1	0.4%
324460	1	0.4%
263991	1	0.4%
209288	1	0.4%
197016	1	0.4%
190886	1	0.4%
164670	1	0.4%
143990	1	0.4%
129163	1	0.4%

Population density (per km2, 2017)
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	219
Distinct (%)	95.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	462.8248908

Minimum	0.1
Maximum	25969.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	0.1
5-th percentile	4
Q1	35.9
median	88.1
Q3	222.8
95-th percentile	1056.04
Maximum	25969.8
Range	25969.7
Interquartile range (IQR)	186.9

Descriptive statistics

Standard deviation	2305.384253
Coefficient of variation (CV)	4.981115534
Kurtosis	92.69038305
Mean	462.8248908
Median Absolute Deviation (MAD)	65.4
Skewness	9.314744997
Sum	105986.9
Variance	5314796.554
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	3	1.3%
51.8	2	0.9%
23	2	0.9%
214.5	2	0.9%
266.9	2	0.9%
46.8	2	0.9%
135.1	2	0.9%
3.6	2	0.9%
18.2	2	0.9%
17.9	1	0.4%
Other values (209)	209	91.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.1	1	0.4%
0.2	1	0.4%
2	1	0.4%
2.1	1	0.4%
3.1	1	0.4%
3.2	1	0.4%
3.3	1	0.4%
3.4	1	0.4%
3.6	2	0.9%
4	3	1.3%

Value	Count	Frequency (%)
25969.8	1	0.4%
20821.6	1	0.4%
8155.5	1	0.4%
7014.2	1	0.4%
3457.1	1	0.4%
1963.9	1	0.4%
1800	1	0.4%
1454.4	1	0.4%
1346.4	1	0.4%
1265	1	0.4%

Sex ratio (m per 100 f, 2017)
Real number (ℝ)

HIGH CORRELATION

Distinct	129
Distinct (%)	56.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100.2021834

Minimum	-99
Maximum	301.2
Zeros	0
Zeros (%)	0.0%
Negative	2
Negative (%)	0.9%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	88.62
Q1	96.4
median	99
Q3	101.7
95-th percentile	111.46
Maximum	301.2
Range	400.2
Interquartile range (IQR)	5.3

Descriptive statistics

Standard deviation	28.3278371
Coefficient of variation (CV)	0.2827067848
Kurtosis	37.33301264
Mean	100.2021834
Median Absolute Deviation (MAD)	2.6
Skewness	-0.1046646211
Sum	22946.3
Variance	802.4663549
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100.2	7	3.1%
99	5	2.2%
99.3	5	2.2%
98.2	5	2.2%
96.2	4	1.7%
96.7	4	1.7%
96.9	4	1.7%
97	4	1.7%
99.2	4	1.7%
101.8	4	1.7%
Other values (119)	183	79.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	2	0.9%
83.5	1	0.4%
84.9	1	0.4%
85.1	1	0.4%
85.4	1	0.4%
86	1	0.4%
86.4	1	0.4%
86.8	1	0.4%
87	1	0.4%
88.2	1	0.4%

Value	Count	Frequency (%)
301.2	1	0.4%
262.4	1	0.4%
219.2	1	0.4%
192.8	1	0.4%
168.3	1	0.4%
134.9	1	0.4%
132.9	1	0.4%
131.8	1	0.4%
124	1	0.4%
113.3	1	0.4%

GDP: Gross domestic product (million current US$)
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	209
Distinct (%)	91.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	321433.8865

Minimum	-99
Maximum	18036648
Zeros	0
Zeros (%)	0.0%
Negative	21
Negative (%)	9.2%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	-99
Q1	2078
median	16251
Q3	117955
95-th percentile	1287953.2
Maximum	18036648
Range	18036747
Interquartile range (IQR)	115877

Descriptive statistics

Standard deviation	1478689.864
Coefficient of variation (CV)	4.600292396
Kurtosis	103.133328
Mean	321433.8865
Median Absolute Deviation (MAD)	16350
Skewness	9.533959878
Sum	73608360
Variance	2.186523713 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-99	21	9.2%
512	1	0.4%
185156	1	0.4%
48953	1	0.4%
6475	1	0.4%
1356	1	0.4%
334	1	0.4%
100177	1	0.4%
1363	1	0.4%
296284	1	0.4%
Other values (199)	199	86.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	21	9.2%
33	1	0.4%
59	1	0.4%
162	1	0.4%
183	1	0.4%
189	1	0.4%
258	1	0.4%
294	1	0.4%
315	1	0.4%
320	1	0.4%

Value	Count	Frequency (%)
18036648	1	0.4%
11158457	1	0.4%
4383076	1	0.4%
3363600	1	0.4%
2858003	1	0.4%
2418946	1	0.4%
2116239	1	0.4%
1821580	1	0.4%
1772591	1	0.4%
1552808	1	0.4%

GDP growth rate (annual %, const. 2005 prices)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	91
Distinct (%)	39.7%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	21
4.8	7
3.1	7
1.6	6
3.8	6
Other values (86)	182

Length

Max length	5
Median length	3
Mean length	3.139737991
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	37 ?
Unique (%)	16.2%

Sample

1st row	-2.4
2nd row	2.6
3rd row	3.8
4th row	-99
5th row	0.8

Common Values

Value	Count	Frequency (%)
-99	21	9.2%
4.8	7	3.1%
3.1	7	3.1%
1.6	6	2.6%
3.8	6	2.6%
4.1	5	2.2%
3.5	5	2.2%
1.2	5	2.2%
2.8	5	2.2%
6.6	4	1.7%
Other values (81)	158	69.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	21	9.2%
3.1	7	3.1%
4.8	7	3.1%
3.8	7	3.1%
4.1	6	2.6%
2.4	6	2.6%
1.6	6	2.6%
3.5	5	2.2%
1.2	5	2.2%
1.7	5	2.2%
Other values (65)	154	67.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GDP per capita (current US$)
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	208
Distinct (%)	90.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14251.87773

Minimum	-99
Maximum	169491.8
Zeros	0
Zeros (%)	0.0%
Negative	21
Negative (%)	9.2%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	-99
Q1	1207.9
median	4836.1
Q3	16344.1
95-th percentile	52785.18
Maximum	169491.8
Range	169590.8
Interquartile range (IQR)	15136.2

Descriptive statistics

Standard deviation	23391.26693
Coefficient of variation (CV)	1.641276145
Kurtosis	16.55488277
Mean	14251.87773
Median Absolute Deviation (MAD)	4289.7
Skewness	3.461517026
Sum	3263680
Variance	547151368.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-99	21	9.2%
1106.4	2	0.9%
14764.5	1	0.4%
2425.4	1	0.4%
1614.2	1	0.4%
8980.9	1	0.4%
623.2	1	0.4%
7960.7	1	0.4%
3903.5	1	0.4%
1442.9	1	0.4%
Other values (198)	198	86.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	21	9.2%
144.5	1	0.4%
244.6	1	0.4%
333.2	1	0.4%
359	1	0.4%
372.9	1	0.4%
401.8	1	0.4%
455.9	1	0.4%
473.2	1	0.4%
486.2	1	0.4%

Value	Count	Frequency (%)
169491.8	1	0.4%
165870.6	1	0.4%
100160.8	1	0.4%
94399.9	1	0.4%
80831.1	1	0.4%
78586.4	1	0.4%
74185.5	1	0.4%
73653.4	1	0.4%
62132	1	0.4%
60513.6	1	0.4%

Economy: Agriculture (% of GVA)
Categorical

HIGH CARDINALITY

Distinct	139
Distinct (%)	60.7%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	23
0.7	6
2.3	5
1.2	4
0.6	3
Other values (134)	188

Length

Max length	4
Median length	3
Mean length	3.371179039
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	93 ?
Unique (%)	40.6%

Sample

1st row	23.3
2nd row	22.4
3rd row	12.2
4th row	-99
5th row	0.5

Common Values

Value	Count	Frequency (%)
-99	23	10.0%
0.7	6	2.6%
2.3	5	2.2%
1.2	4	1.7%
0.6	3	1.3%
1.3	3	1.3%
4.1	3	1.3%
1.4	3	1.3%
8.6	3	1.3%
1.8	3	1.3%
Other values (129)	173	75.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	23	10.0%
0.7	6	2.6%
2.3	5	2.2%
1.2	4	1.7%
0.5	3	1.3%
19.0	3	1.3%
2.5	3	1.3%
2.4	3	1.3%
6.6	3	1.3%
0.1	3	1.3%
Other values (129)	173	75.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Economy: Industry (% of GVA)
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	170
Distinct (%)	74.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.95895197

Minimum	-99
Maximum	79.9
Zeros	0
Zeros (%)	0.0%
Negative	21
Negative (%)	9.2%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	-99
Q1	15.4
median	25.5
Q3	32.8
95-th percentile	51.06
Maximum	79.9
Range	178.9
Interquartile range (IQR)	17.4

Descriptive statistics

Standard deviation	38.68463101
Coefficient of variation (CV)	2.424008236
Kurtosis	4.502965278
Mean	15.95895197
Median Absolute Deviation (MAD)	8.5
Skewness	-2.281902549
Sum	3654.6
Variance	1496.500676
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-99	21	9.2%
32.8	3	1.3%
26.4	3	1.3%
28	3	1.3%
28.3	3	1.3%
34.1	3	1.3%
21.5	3	1.3%
23.3	2	0.9%
13.6	2	0.9%
19.7	2	0.9%
Other values (160)	184	80.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	21	9.2%
4	1	0.4%
5.3	1	0.4%
6.5	1	0.4%
6.6	1	0.4%
7.2	1	0.4%
7.4	1	0.4%
7.5	1	0.4%
7.6	1	0.4%
8	1	0.4%

Value	Count	Frequency (%)
79.9	1	0.4%
73.1	1	0.4%
70	1	0.4%
67.1	1	0.4%
60.2	1	0.4%
59.9	1	0.4%
58	2	0.9%
56.4	1	0.4%
54.5	1	0.4%
51.2	1	0.4%

Economy: Services and other activity (% of GVA)
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	173
Distinct (%)	75.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46.40873362

Minimum	-99
Maximum	94
Zeros	0
Zeros (%)	0.0%
Negative	21
Negative (%)	9.2%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	-99
Q1	47.3
median	59.5
Q3	70.7
95-th percentile	86.44
Maximum	94
Range	193
Interquartile range (IQR)	23.4

Descriptive statistics

Standard deviation	48.60372985
Coefficient of variation (CV)	1.047297051
Kurtosis	4.615188944
Mean	46.40873362
Median Absolute Deviation (MAD)	11.9
Skewness	-2.383702814
Sum	10627.6
Variance	2362.322555
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-99	21	9.2%
59.7	3	1.3%
54.4	3	1.3%
63.3	3	1.3%
37.4	3	1.3%
70.7	3	1.3%
59.2	3	1.3%
51.8	3	1.3%
72.6	2	0.9%
66.2	2	0.9%
Other values (163)	183	79.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	21	9.2%
14.9	1	0.4%
17.9	1	0.4%
25.3	1	0.4%
25.7	1	0.4%
31.1	1	0.4%
32	1	0.4%
32.2	1	0.4%
32.5	1	0.4%
34.6	1	0.4%

Value	Count	Frequency (%)
94	1	0.4%
93.4	1	0.4%
92.7	1	0.4%
92.2	1	0.4%
89	1	0.4%
88.6	1	0.4%
88.2	1	0.4%
87.8	1	0.4%
87.7	1	0.4%
87.6	1	0.4%

Employment: Agriculture (% of employed)
Categorical

HIGH CARDINALITY

Distinct	160
Distinct (%)	69.9%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	19
...	16
1.2	4
2.0	3
3.9	3
Other values (155)	184

Length

Max length	4
Median length	4
Mean length	3.515283843
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	129 ?
Unique (%)	56.3%

Sample

1st row	61.6
2nd row	41.4
3rd row	10.8
4th row	...
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	19	8.3%
...	16	7.0%
1.2	4	1.7%
2.0	3	1.3%
3.9	3	1.3%
8.7	3	1.3%
3.5	3	1.3%
5.0	3	1.3%
4.1	2	0.9%
0.3	2	0.9%
Other values (150)	171	74.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	19	8.3%
	16	7.0%
1.2	4	1.7%
2.0	3	1.3%
3.9	3	1.3%
8.7	3	1.3%
3.5	3	1.3%
5.0	3	1.3%
75.0	2	0.9%
2.2	2	0.9%
Other values (150)	171	74.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Employment: Industry (% of employed)
Categorical

HIGH CARDINALITY

Distinct	139
Distinct (%)	60.7%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	18
...	16
24.5	4
14.2	3
19.2	3
Other values (134)	185

Length

Max length	4
Median length	4
Mean length	3.716157205
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	39.7%

Sample

1st row	10.0
2nd row	18.3
3rd row	34.5
4th row	...
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	18	7.9%
...	16	7.0%
24.5	4	1.7%
14.2	3	1.3%
19.2	3	1.3%
23.9	3	1.3%
17.9	3	1.3%
20.7	3	1.3%
19.1	3	1.3%
17.7	3	1.3%
Other values (129)	170	74.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	18	7.9%
	16	7.0%
24.5	4	1.7%
19.1	3	1.3%
11.7	3	1.3%
14.9	3	1.3%
17.7	3	1.3%
20.4	3	1.3%
20.7	3	1.3%
17.9	3	1.3%
Other values (129)	170	74.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Employment: Services (% of employed)
Categorical

HIGH CARDINALITY

Distinct	165
Distinct (%)	72.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	18
...	16
40.3	4
61.3	3
78.2	2
Other values (160)	186

Length

Max length	4
Median length	4
Mean length	3.847161572
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	134 ?
Unique (%)	58.5%

Sample

1st row	28.5
2nd row	40.3
3rd row	54.7
4th row	...
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	18	7.9%
...	16	7.0%
40.3	4	1.7%
61.3	3	1.3%
78.2	2	0.9%
69.7	2	0.9%
61.0	2	0.9%
69.4	2	0.9%
66.8	2	0.9%
49.1	2	0.9%
Other values (155)	176	76.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	18	7.9%
	16	7.0%
40.3	4	1.7%
61.3	3	1.3%
81.9	2	0.9%
58.3	2	0.9%
67.5	2	0.9%
61.5	2	0.9%
29.5	2	0.9%
49.4	2	0.9%
Other values (155)	176	76.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Unemployment (% of labour force)
Categorical

HIGH CARDINALITY

Distinct	129
Distinct (%)	56.3%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

...	16
-99	11
5.6	5
6.6	5
6.8	5
Other values (124)	187

Length

Max length	4
Median length	3
Mean length	3.270742358
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	84 ?
Unique (%)	36.7%

Sample

1st row	8.6
2nd row	15.8
3rd row	11.4
4th row	...
5th row	-99

Common Values

Value	Count	Frequency (%)
...	16	7.0%
-99	11	4.8%
5.6	5	2.2%
6.6	5	2.2%
6.8	5	2.2%
5.9	4	1.7%
5.5	4	1.7%
5.8	4	1.7%
2.4	4	1.7%
5.3	3	1.3%
Other values (119)	168	73.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	16	7.0%
99	11	4.8%
5.6	5	2.2%
6.6	5	2.2%
6.8	5	2.2%
5.9	4	1.7%
5.5	4	1.7%
5.8	4	1.7%
2.4	4	1.7%
11.3	3	1.3%
Other values (119)	168	73.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Labour force participation (female/male pop. %)
Categorical

HIGH CARDINALITY

Distinct	202
Distinct (%)	88.2%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

.../...	15
-99	14
62.5/74.5	1
39.1/46.5	1
45.5/79.5	1
Other values (197)	197

Length

Max length	9
Median length	9
Mean length	8.502183406
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	200 ?
Unique (%)	87.3%

Sample

1st row	19.3/83.6
2nd row	40.2/61.0
3rd row	17.0/70.7
4th row	.../...
5th row	-99

Common Values

Value	Count	Frequency (%)
.../...	15	6.6%
-99	14	6.1%
62.5/74.5	1	0.4%
39.1/46.5	1	0.4%
45.5/79.5	1	0.4%
49.3/77.8	1	0.4%
53.1/93.6	1	0.4%
40.2/61.0	1	0.4%
52.6/67.8	1	0.4%
64.1/82.6	1	0.4%
Other values (192)	192	83.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	15	6.6%
99	14	6.1%
40.7/58.3	1	0.4%
61.1/68.3	1	0.4%
46.9/74.3	1	0.4%
58.0/79.8	1	0.4%
54.5/61.7	1	0.4%
29.0/53.3	1	0.4%
62.4/72.4	1	0.4%
41.8/55.9	1	0.4%
Other values (192)	192	83.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Agricultural production index (2004-2006=100)
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	84
Distinct (%)	36.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	99.27074236

Minimum	-99
Maximum	199
Zeros	0
Zeros (%)	0.0%
Negative	18
Negative (%)	7.9%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	-99
Q1	98
median	111
Q3	130
95-th percentile	158
Maximum	199
Range	298
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	62.7871374
Coefficient of variation (CV)	0.6324838105
Kurtosis	5.205730348
Mean	99.27074236
Median Absolute Deviation (MAD)	15
Skewness	-2.35337907
Sum	22733
Variance	3942.224623
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-99	18	7.9%
102	8	3.5%
111	7	3.1%
112	7	3.1%
104	6	2.6%
103	6	2.6%
96	6	2.6%
120	6	2.6%
109	5	2.2%
115	5	2.2%
Other values (74)	155	67.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	18	7.9%
34	1	0.4%
39	1	0.4%
61	1	0.4%
65	2	0.9%
66	1	0.4%
69	1	0.4%
70	1	0.4%
78	1	0.4%
80	1	0.4%

Value	Count	Frequency (%)
199	1	0.4%
193	1	0.4%
179	1	0.4%
176	1	0.4%
175	2	0.9%
168	1	0.4%
167	1	0.4%
163	1	0.4%
160	2	0.9%
158	3	1.3%

Food production index (2004-2006=100)
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	87
Distinct (%)	38.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	100.0436681

Minimum	-99
Maximum	199
Zeros	0
Zeros (%)	0.0%
Negative	18
Negative (%)	7.9%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	-99
Q1	98
median	112
Q3	130
95-th percentile	164
Maximum	199
Range	298
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	63.19898828
Coefficient of variation (CV)	0.6317140252
Kurtosis	5.125638587
Mean	100.0436681
Median Absolute Deviation (MAD)	15
Skewness	-2.329148697
Sum	22910
Variance	3994.11212
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-99	18	7.9%
112	8	3.5%
115	7	3.1%
102	7	3.1%
122	6	2.6%
119	6	2.6%
109	6	2.6%
103	6	2.6%
120	5	2.2%
134	5	2.2%
Other values (77)	155	67.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	18	7.9%
34	1	0.4%
39	1	0.4%
61	1	0.4%
65	1	0.4%
66	1	0.4%
68	1	0.4%
69	1	0.4%
70	1	0.4%
78	1	0.4%

Value	Count	Frequency (%)
199	1	0.4%
186	1	0.4%
180	2	0.9%
177	1	0.4%
176	1	0.4%
174	1	0.4%
172	1	0.4%
168	1	0.4%
167	1	0.4%
166	2	0.9%

International trade: Exports (million US$)
Categorical

HIGH CARDINALITY

Distinct	206
Distinct (%)	90.0%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	18
~0	4
4	3
14	2
9143	1
Other values (201)	201

Length

Max length	7
Median length	4
Mean length	3.973799127
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	202 ?
Unique (%)	88.2%

Sample

1st row	1458
2nd row	1962
3rd row	29992
4th row	-99
5th row	100

Common Values

Value	Count	Frequency (%)
-99	18	7.9%
~0	4	1.7%
4	3	1.3%
14	2	0.9%
9143	1	0.4%
4785	1	0.4%
60571	1	0.4%
46238	1	0.4%
7321	1	0.4%
2	1	0.4%
Other values (196)	196	85.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	18	7.9%
0	4	1.7%
4	3	1.3%
14	2	0.9%
703	1	0.4%
4576	1	0.4%
196455	1	0.4%
16	1	0.4%
516588	1	0.4%
185235	1	0.4%
Other values (196)	196	85.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

International trade: Imports (million US$)
Categorical

HIGH CARDINALITY

Distinct	210
Distinct (%)	91.7%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	18
350	2
154	2
283009	1
420969	1
Other values (205)	205

Length

Max length	7
Median length	4
Mean length	4.205240175
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	207 ?
Unique (%)	90.4%

Sample

1st row	3568
2nd row	4669
3rd row	47091
4th row	-99
5th row	1355

Common Values

Value	Count	Frequency (%)
-99	18	7.9%
350	2	0.9%
154	2	0.9%
283009	1	0.4%
420969	1	0.4%
2904	1	0.4%
471	1	0.4%
833	1	0.4%
560555	1	0.4%
32058	1	0.4%
Other values (200)	200	87.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	18	7.9%
154	2	0.9%
350	2	0.9%
25175	1	0.4%
5478	1	0.4%
647	1	0.4%
1625	1	0.4%
3844	1	0.4%
11697	1	0.4%
23260	1	0.4%
Other values (200)	200	87.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

International trade: Balance (million US$)
Categorical

HIGH CARDINALITY

Distinct	211
Distinct (%)	92.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	18
-1079	2
-288	1
-4050	1
-7253	1
Other values (206)	206

Length

Max length	7
Median length	5
Mean length	4.497816594
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	209 ?
Unique (%)	91.3%

Sample

1st row	-2110
2nd row	-2707
3rd row	-17099
4th row	-99
5th row	-1255

Common Values

Value	Count	Frequency (%)
-99	18	7.9%
-1079	2	0.9%
-288	1	0.4%
-4050	1	0.4%
-7253	1	0.4%
-113	1	0.4%
-1905	1	0.4%
-17397	1	0.4%
-439	1	0.4%
611	1	0.4%
Other values (201)	201	87.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	18	7.9%
1079	2	0.9%
8182	1	0.4%
502	1	0.4%
619	1	0.4%
6296	1	0.4%
15413	1	0.4%
1157	1	0.4%
294	1	0.4%
5122	1	0.4%
Other values (201)	201	87.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Balance of payments, current account (million US$)
Categorical

HIGH CARDINALITY

Distinct	178
Distinct (%)	77.7%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	42
...	8
-210	2
-204	2
-72	2
Other values (173)	173

Length

Max length	7
Median length	4
Mean length	4.100436681
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	173 ?
Unique (%)	75.5%

Sample

1st row	-5121
2nd row	-1222
3rd row	-27229
4th row	-99
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	42	18.3%
...	8	3.5%
-210	2	0.9%
-204	2	0.9%
-72	2	0.9%
-36	1	0.4%
-32278	1	0.4%
-579	1	0.4%
13751	1	0.4%
-1348	1	0.4%
Other values (168)	168	73.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	42	18.3%
	8	3.5%
210	2	0.9%
204	2	0.9%
72	2	0.9%
96	2	0.9%
860	1	0.4%
2492	1	0.4%
279969	1	0.4%
27	1	0.4%
Other values (167)	167	72.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Population growth rate (average annual %)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	58
Distinct (%)	25.3%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

1.2	13
0.5	12
1.6	10
0.4	8
2.2	8
Other values (53)	178

Length

Max length	5
Median length	3
Mean length	3.170305677
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	7.4%

Sample

1st row	3.2
2nd row	-0.1
3rd row	2.0
4th row	-~0.0
5th row	-1.6

Common Values

Value	Count	Frequency (%)
1.2	13	5.7%
0.5	12	5.2%
1.6	10	4.4%
0.4	8	3.5%
2.2	8	3.5%
0.3	8	3.5%
0.6	8	3.5%
1.4	8	3.5%
0.2	7	3.1%
1.8	7	3.1%
Other values (48)	140	61.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1.2	15	6.6%
0.5	14	6.1%
0.4	12	5.2%
0.1	12	5.2%
1.6	11	4.8%
0.6	11	4.8%
0.3	10	4.4%
0.2	10	4.4%
1.4	9	3.9%
2.2	8	3.5%
Other values (33)	117	51.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Urban population (% of total population)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	195
Distinct (%)	85.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	59.50873362

Minimum	0
Maximum	100
Zeros	2
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	0
5-th percentile	18.64
Q1	39.8
median	59.9
Q3	79.6
95-th percentile	98.88
Maximum	100
Range	100
Interquartile range (IQR)	39.8

Descriptive statistics

Standard deviation	25.20640431
Coefficient of variation (CV)	0.4235748733
Kurtosis	-0.9485785952
Mean	59.50873362
Median Absolute Deviation (MAD)	20.1
Skewness	-0.1796838891
Sum	13627.5
Variance	635.3628181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	11	4.8%
39.9	3	1.3%
73.4	2	0.9%
59.7	2	0.9%
31.5	2	0.9%
69.5	2	0.9%
54.6	2	0.9%
53.6	2	0.9%
42.5	2	0.9%
55.6	2	0.9%
Other values (185)	199	86.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	0.9%
8.4	1	0.4%
9	1	0.4%
12.1	1	0.4%
13	1	0.4%
14.3	1	0.4%
16.1	1	0.4%
16.3	1	0.4%
18.4	1	0.4%
18.5	1	0.4%

Value	Count	Frequency (%)
100	11	4.8%
99.2	1	0.4%
98.4	1	0.4%
98.3	1	0.4%
97.9	1	0.4%
95.4	1	0.4%
95.3	2	0.9%
94.5	1	0.4%
94.2	1	0.4%
94.1	1	0.4%

Urban population growth rate (average annual %)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	64
Distinct (%)	27.9%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

0.5	9
0.1	9
0.8	9
0.7	8
0.9	7
Other values (59)	187

Length

Max length	4
Median length	3
Mean length	3.104803493
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	5.7%

Sample

1st row	4.0
2nd row	2.2
3rd row	2.8
4th row	-0.1
5th row	0.1

Common Values

Value	Count	Frequency (%)
0.5	9	3.9%
0.1	9	3.9%
0.8	9	3.9%
0.7	8	3.5%
0.9	7	3.1%
1.0	6	2.6%
2.7	6	2.6%
1.3	6	2.6%
1.7	6	2.6%
1.6	6	2.6%
Other values (54)	157	68.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0.1	15	6.6%
0.5	10	4.4%
0.7	10	4.4%
0.3	10	4.4%
0.8	9	3.9%
0.9	9	3.9%
1.4	6	2.6%
0.2	6	2.6%
3.8	6	2.6%
1.6	6	2.6%
Other values (44)	142	62.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Fertility rate, total (live births per woman)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	51
Distinct (%)	22.3%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

1.5	16
2.0	14
2.6	13
-99	11
1.8	10
Other values (46)	165

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	4.4%

Sample

1st row	5.3
2nd row	1.7
3rd row	3.0
4th row	2.6
5th row	1.2

Common Values

Value	Count	Frequency (%)
1.5	16	7.0%
2.0	14	6.1%
2.6	13	5.7%
-99	11	4.8%
1.8	10	4.4%
2.1	10	4.4%
1.6	9	3.9%
2.4	8	3.5%
1.7	8	3.5%
1.9	7	3.1%
Other values (41)	123	53.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1.5	16	7.0%
2.0	14	6.1%
2.6	13	5.7%
99	11	4.8%
1.8	10	4.4%
2.1	10	4.4%
1.6	9	3.9%
2.4	8	3.5%
1.7	8	3.5%
1.4	7	3.1%
Other values (41)	123	53.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Life expectancy at birth (females/males, years)
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	211
Distinct (%)	92.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	12
.../...	6
83.7/80.0	2
74.9/70.7	2
70.7/66.6	1
Other values (206)	206

Length

Max length	9
Median length	9
Mean length	8.633187773
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	207 ?
Unique (%)	90.4%

Sample

1st row	63.5/61.0
2nd row	79.9/75.6
3rd row	76.5/74.1
4th row	77.8/71.1
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	12	5.2%
.../...	6	2.6%
83.7/80.0	2	0.9%
74.9/70.7	2	0.9%
70.7/66.6	1	0.4%
77.7/66.5	1	0.4%
79.3/73.7	1	0.4%
82.4/78.7	1	0.4%
59.5/56.7	1	0.4%
78.8/74.0	1	0.4%
Other values (201)	201	87.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	12	5.2%
	6	2.6%
83.7/80.0	2	0.9%
74.9/70.7	2	0.9%
64.1/61.2	1	0.4%
73.6/69.4	1	0.4%
83.8/80.6	1	0.4%
74.8/71.1	1	0.4%
77.1/67.9	1	0.4%
84.5/80.1	1	0.4%
Other values (201)	201	87.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Population age distribution (0-14 / 60+ years, %)
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	221
Distinct (%)	96.5%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

.../...	5
-99	3
29.0/8.4	2
42.3/5.2	2
19.8/20.8	1
Other values (216)	216

Length

Max length	9
Median length	8
Mean length	8.406113537
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	217 ?
Unique (%)	94.8%

Sample

1st row	43.2/4.1
2nd row	17.4/19.0
3rd row	29.3/9.4
4th row	33.3/9.0
5th row	14.4/19.0

Common Values

Value	Count	Frequency (%)
.../...	5	2.2%
-99	3	1.3%
29.0/8.4	2	0.9%
42.3/5.2	2	0.9%
19.8/20.8	1	0.4%
31.4/6.4	1	0.4%
31.6/9.5	1	0.4%
14.7/25.3	1	0.4%
44.0/4.5	1	0.4%
35.0/6.4	1	0.4%
Other values (211)	211	92.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	5	2.2%
99	3	1.3%
29.0/8.4	2	0.9%
42.3/5.2	2	0.9%
19.2/7.6	1	0.4%
40.6/5.3	1	0.4%
15.3/24.9	1	0.4%
39.9/4.6	1	0.4%
23.1/12.0	1	0.4%
20.1/25.3	1	0.4%
Other values (211)	211	92.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

International migrant stock (000/% of total pop.)
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	229
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

387.5/2.4	1
2043.9/1.6	1
12.6/1.6	1
491.6/0.5	1
34.5/12.1	1
Other values (224)	224

Length

Max length	12
Median length	9
Mean length	9.03930131
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	229 ?
Unique (%)	100.0%

Sample

1st row	382.4/1.2
2nd row	57.6/2.0
3rd row	242.4/0.6
4th row	23.2/41.8
5th row	42.1/59.7

Common Values

Value	Count	Frequency (%)
387.5/2.4	1	0.4%
2043.9/1.6	1	0.4%
12.6/1.6	1	0.4%
491.6/0.5	1	0.4%
34.5/12.1	1	0.4%
17.6/0.6	1	0.4%
5.5/37.4	1	0.4%
1.0/15.7	1	0.4%
2543.6/45.4	1	0.4%
545.7/0.7	1	0.4%
Other values (219)	219	95.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
387.5/2.4	1	0.4%
421.7/8.8	1	0.4%
23.2/41.8	1	0.4%
3142.5/5.8	1	0.4%
1845.0/41.1	1	0.4%
2514.2/8.3	1	0.4%
255.5/5.5	1	0.4%
202.3/15.4	1	0.4%
13.8/1.5	1	0.4%
286.8/2.6	1	0.4%
Other values (219)	219	95.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Refugees and others of concern to UNHCR (in thousands)
Categorical

HIGH CARDINALITY

Distinct	140
Distinct (%)	61.1%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	41
~0.0	25
...	5
0.1	4
0.8	4
Other values (135)	150

Length

Max length	6
Median length	4
Mean length	3.864628821
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	121 ?
Unique (%)	52.8%

Sample

1st row	1513.1
2nd row	8.8
3rd row	99.8
4th row	-99
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	41	17.9%
~0.0	25	10.9%
...	5	2.2%
0.1	4	1.7%
0.8	4	1.7%
0.6	3	1.3%
0.5	2	0.9%
94.7	2	0.9%
0.3	2	0.9%
1.3	2	0.9%
Other values (130)	139	60.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	41	17.9%
0.0	25	10.9%
	5	2.2%
0.1	4	1.7%
0.8	4	1.7%
0.6	3	1.3%
0.4	2	0.9%
8.8	2	0.9%
2.5	2	0.9%
4.7	2	0.9%
Other values (130)	139	60.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Infant mortality rate (per 1000 live births
Categorical

HIGH CARDINALITY

Distinct	157
Distinct (%)	68.6%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	23
3.4	5
9.6	5
46.9	3
3.9	3
Other values (152)	190

Length

Max length	4
Median length	4
Mean length	3.550218341
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	119 ?
Unique (%)	52.0%

Sample

1st row	68.6
2nd row	14.6
3rd row	27.7
4th row	9.6
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	23	10.0%
3.4	5	2.2%
9.6	5	2.2%
46.9	3	1.3%
3.9	3	1.3%
6.5	3	1.3%
3.0	3	1.3%
9.3	3	1.3%
46.5	3	1.3%
3.5	3	1.3%
Other values (147)	175	76.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	23	10.0%
9.6	5	2.2%
3.4	5	2.2%
46.9	3	1.3%
3.9	3	1.3%
6.5	3	1.3%
3.0	3	1.3%
9.3	3	1.3%
46.5	3	1.3%
3.5	3	1.3%
Other values (147)	175	76.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Health: Total expenditure (% of GDP)
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	90
Distinct (%)	39.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-11.2489083

Minimum	-99
Maximum	17.1
Zeros	0
Zeros (%)	0.0%
Negative	39
Negative (%)	17.0%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	-99
Q1	3.4
median	5.6
Q3	7.8
95-th percentile	11.1
Maximum	17.1
Range	116.1
Interquartile range (IQR)	4.4

Descriptive statistics

Standard deviation	39.92493682
Coefficient of variation (CV)	-3.549227691
Kurtosis	1.099417831
Mean	-11.2489083
Median Absolute Deviation (MAD)	2.2
Skewness	-1.749152091
Sum	-2576
Variance	1594.00058
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-99	39	17.0%
7.4	6	2.6%
5.6	6	2.6%
7.5	5	2.2%
5.5	5	2.2%
4.7	5	2.2%
5	5	2.2%
3.6	5	2.2%
6.4	4	1.7%
7.8	4	1.7%
Other values (80)	145	63.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	39	17.0%
1.5	1	0.4%
1.9	1	0.4%
2.1	1	0.4%
2.2	1	0.4%
2.3	1	0.4%
2.6	2	0.9%
2.7	1	0.4%
2.8	2	0.9%
3	2	0.9%

Value	Count	Frequency (%)
17.1	2	0.9%
16.5	1	0.4%
13.7	2	0.9%
11.9	1	0.4%
11.7	1	0.4%
11.5	1	0.4%
11.4	1	0.4%
11.3	1	0.4%
11.2	1	0.4%
11.1	2	0.9%

Health: Physicians (per 1000 pop.)
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	49
Distinct (%)	21.4%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

...	66
-99	39
0.2	9
2.8	6
1.5	6
Other values (44)	103

Length

Max length	4
Median length	3
Mean length	3.017467249
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	15 ?
Unique (%)	6.6%

Sample

1st row	0.3
2nd row	1.3
3rd row	...
4th row	-99
5th row	3.7

Common Values

Value	Count	Frequency (%)
...	66	28.8%
-99	39	17.0%
0.2	9	3.9%
2.8	6	2.6%
1.5	6	2.6%
1.9	5	2.2%
2.5	5	2.2%
0.1	5	2.2%
3.3	4	1.7%
2.3	4	1.7%
Other values (39)	80	34.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	66	28.8%
99	39	17.0%
0.2	9	3.9%
2.8	6	2.6%
1.5	6	2.6%
1.9	5	2.2%
2.5	5	2.2%
0.1	5	2.2%
4.1	4	1.7%
3.4	4	1.7%
Other values (39)	80	34.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Education: Government expenditure (% of GDP)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	63
Distinct (%)	27.5%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	45
...	36
5.5	8
2.8	6
5.0	6
Other values (58)	128

Length

Max length	4
Median length	3
Mean length	3.004366812
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	23 ?
Unique (%)	10.0%

Sample

1st row	3.3
2nd row	3.5
3rd row	...
4th row	-99
5th row	3.3

Common Values

Value	Count	Frequency (%)
-99	45	19.7%
...	36	15.7%
5.5	8	3.5%
2.8	6	2.6%
5.0	6	2.6%
5.3	6	2.6%
4.1	6	2.6%
4.9	5	2.2%
3.6	5	2.2%
3.3	5	2.2%
Other values (53)	101	44.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	45	19.7%
	36	15.7%
5.5	8	3.5%
5.0	6	2.6%
5.3	6	2.6%
4.1	6	2.6%
2.8	6	2.6%
4.9	5	2.2%
3.6	5	2.2%
3.3	5	2.2%
Other values (53)	101	44.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Education: Primary gross enrol. ratio (f/m per 100 pop.)
Categorical

HIGH CARDINALITY

Distinct	187
Distinct (%)	81.7%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	33
.../...	10
103.8/104.1	2
89.0/90.5	1
107.5/108.6	1
Other values (182)	182

Length

Max length	11
Median length	11
Mean length	9.161572052
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	184 ?
Unique (%)	80.3%

Sample

1st row	91.1/131.6
2nd row	111.7/115.5
3rd row	112.7/119.5
4th row	-99
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	33	14.4%
.../...	10	4.4%
103.8/104.1	2	0.9%
89.0/90.5	1	0.4%
107.5/108.6	1	0.4%
105.6/104.5	1	0.4%
108.1/108.4	1	0.4%
123.7/134.2	1	0.4%
94.3/94.4	1	0.4%
109.5/113.3	1	0.4%
Other values (177)	177	77.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	33	14.4%
	10	4.4%
103.8/104.1	2	0.9%
112.7/119.5	1	0.4%
111.6/117.7	1	0.4%
99.8/103.8	1	0.4%
121.4/124.2	1	0.4%
108.4/109.3	1	0.4%
114.3/121.0	1	0.4%
89.1/98.5	1	0.4%
Other values (177)	177	77.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Education: Secondary gross enrol. ratio (f/m per 100 pop.)
Categorical

HIGH CARDINALITY

Distinct	176
Distinct (%)	76.9%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	37
.../...	18
106.1/110.3	1
75.5/67.7	1
97.6/102.4	1
Other values (171)	171

Length

Max length	11
Median length	9
Mean length	8.35371179
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	174 ?
Unique (%)	76.0%

Sample

1st row	39.7/70.7
2nd row	92.5/98.8
3rd row	101.7/98.1
4th row	-99
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	37	16.2%
.../...	18	7.9%
106.1/110.3	1	0.4%
75.5/67.7	1	0.4%
97.6/102.4	1	0.4%
39.7/70.7	1	0.4%
99.6/105.6	1	0.4%
99.0/99.4	1	0.4%
113.5/110.6	1	0.4%
95.6/93.2	1	0.4%
Other values (166)	166	72.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	37	16.2%
	18	7.9%
93.0/86.5	1	0.4%
103.5/101.1	1	0.4%
63.3/67.9	1	0.4%
129.4/125.6	1	0.4%
103.6/82.0	1	0.4%
103.8/101.6	1	0.4%
105.0/107.9	1	0.4%
80.4/73.1	1	0.4%
Other values (166)	166	72.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Education: Tertiary gross enrol. ratio (f/m per 100 pop.)
Categorical

HIGH CARDINALITY

Distinct	160
Distinct (%)	69.9%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	49
.../...	22
31.1/15.1	1
94.4/83.0	1
76.1/49.1	1
Other values (155)	155

Length

Max length	11
Median length	9
Mean length	7.288209607
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	158 ?
Unique (%)	69.0%

Sample

1st row	3.7/13.3
2nd row	68.1/48.7
3rd row	45.1/28.9
4th row	-99
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	49	21.4%
.../...	22	9.6%
31.1/15.1	1	0.4%
94.4/83.0	1	0.4%
76.1/49.1	1	0.4%
85.4/65.0	1	0.4%
54.4/34.5	1	0.4%
89.2/74.3	1	0.4%
20.7/18.2	1	0.4%
75.5/54.6	1	0.4%
Other values (150)	150	65.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	49	21.4%
	22	9.6%
27.5/28.7	1	0.4%
30.5/27.7	1	0.4%
27.7/19.2	1	0.4%
60.9/65.7	1	0.4%
65.7/58.0	1	0.4%
6.9/9.1	1	0.4%
16.8/15.8	1	0.4%
6.4/14.9	1	0.4%
Other values (150)	150	65.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Seats held by women in national parliaments %
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	152
Distinct (%)	66.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.861572052

Minimum	-99
Maximum	61.3
Zeros	4
Zeros (%)	1.7%
Negative	37
Negative (%)	16.2%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	-99
Q1	7.2
median	17.1
Q3	27.1
95-th percentile	40.62
Maximum	61.3
Range	160.3
Interquartile range (IQR)	19.9

Descriptive statistics

Standard deviation	45.67463507
Coefficient of variation (CV)	24.53551825
Kurtosis	1.035807533
Mean	1.861572052
Median Absolute Deviation (MAD)	10
Skewness	-1.618294696
Sum	426.3
Variance	2086.172289
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-99	37	16.2%
16	5	2.2%
0	4	1.7%
25.8	3	1.3%
19.2	3	1.3%
16.7	3	1.3%
20	3	1.3%
26.7	3	1.3%
19.9	2	0.9%
17	2	0.9%
Other values (142)	164	71.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	37	16.2%
0	4	1.7%
1.2	1	0.4%
2	1	0.4%
2.6	1	0.4%
2.7	1	0.4%
3.1	2	0.9%
3.8	1	0.4%
4.9	1	0.4%
5.6	1	0.4%

Value	Count	Frequency (%)
61.3	1	0.4%
53.1	1	0.4%
48.9	1	0.4%
47.6	1	0.4%
45.7	1	0.4%
43.6	1	0.4%
42.7	1	0.4%
42.6	1	0.4%
42.2	1	0.4%
42	1	0.4%

Mobile-cellular subscriptions (per 100 inhabitants)
Categorical

HIGH CARDINALITY

Distinct	196
Distinct (%)	85.6%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	13
...	7
87.1	3
111.5	3
114.0	2
Other values (191)	201

Length

Max length	5
Median length	5
Mean length	4.445414847
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	181 ?
Unique (%)	79.0%

Sample

1st row	61.6
2nd row	106.4
3rd row	113.0
4th row	...
5th row	88.1

Common Values

Value	Count	Frequency (%)
-99	13	5.7%
...	7	3.1%
87.1	3	1.3%
111.5	3	1.3%
114.0	2	0.9%
148.7	2	0.9%
125.8	2	0.9%
105.4	2	0.9%
129.3	2	0.9%
70.5	2	0.9%
Other values (186)	191	83.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	13	5.7%
	7	3.1%
87.1	3	1.3%
111.5	3	1.3%
70.5	2	0.9%
129.5	2	0.9%
132.8	2	0.9%
115.7	2	0.9%
115.2	2	0.9%
143.9	2	0.9%
Other values (186)	191	83.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Mobile-cellular subscriptions (per 100 inhabitants).1
Categorical

HIGH CARDINALITY

Distinct	195
Distinct (%)	85.2%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	16
64.6	3
19.0	3
67.6	2
30.0	2
Other values (190)	203

Length

Max length	4
Median length	4
Mean length	3.825327511
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	177 ?
Unique (%)	77.3%

Sample

1st row	8.3
2nd row	63.3
3rd row	38.2
4th row	-99
5th row	96.9

Common Values

Value	Count	Frequency (%)
-99	16	7.0%
64.6	3	1.3%
19.0	3	1.3%
67.6	2	0.9%
30.0	2	0.9%
38.2	2	0.9%
18.0	2	0.9%
77.0	2	0.9%
51.9	2	0.9%
82.1	2	0.9%
Other values (185)	193	84.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	16	7.0%
19.0	3	1.3%
64.6	3	1.3%
98.3	2	0.9%
37.6	2	0.9%
73.1	2	0.9%
23.5	2	0.9%
42.8	2	0.9%
9.0	2	0.9%
74.0	2	0.9%
Other values (185)	193	84.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Individuals using the Internet (per 100 inhabitants)
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION

Distinct	172
Distinct (%)	75.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	198.7117904

Minimum	-99
Maximum	2358
Zeros	0
Zeros (%)	0.0%
Negative	1
Negative (%)	0.4%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	21.8
Q1	55
median	97
Q3	196
95-th percentile	814.2
Maximum	2358
Range	2457
Interquartile range (IQR)	141

Descriptive statistics

Standard deviation	296.4530892
Coefficient of variation (CV)	1.491874683
Kurtosis	16.21182423
Mean	198.7117904
Median Absolute Deviation (MAD)	50
Skewness	3.549465771
Sum	45505
Variance	87884.43411
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
49	4	1.7%
54	4	1.7%
104	4	1.7%
88	3	1.3%
52	3	1.3%
56	3	1.3%
31	3	1.3%
23	3	1.3%
58	3	1.3%
86	3	1.3%
Other values (162)	196	85.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	1	0.4%
1	2	0.9%
3	1	0.4%
6	1	0.4%
11	2	0.9%
12	1	0.4%
13	1	0.4%
18	1	0.4%
21	2	0.9%
23	3	1.3%

Value	Count	Frequency (%)
2358	1	0.4%
1513	1	0.4%
1324	1	0.4%
1281	1	0.4%
1272	1	0.4%
1162	1	0.4%
1082	1	0.4%
1080	1	0.4%
1052	1	0.4%
990	1	0.4%

Threatened species (number)
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	194
Distinct (%)	84.7%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	8
0.0	6
0.1	3
34.0	2
42.3	2
Other values (189)	208

Length

Max length	4
Median length	4
Mean length	3.746724891
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	170 ?
Unique (%)	74.2%

Sample

1st row	2.1
2nd row	28.2
3rd row	0.8
4th row	87.9
5th row	34.0

Common Values

Value	Count	Frequency (%)
-99	8	3.5%
0.0	6	2.6%
0.1	3	1.3%
34.0	2	0.9%
42.3	2	0.9%
~0.0	2	0.9%
46.9	2	0.9%
50.8	2	0.9%
1.1	2	0.9%
0.2	2	0.9%
Other values (184)	198	86.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	8	3.5%
0.0	8	3.5%
0.1	3	1.3%
40.3	2	0.9%
34.0	2	0.9%
3.8	2	0.9%
8.1	2	0.9%
12.3	2	0.9%
11.0	2	0.9%
6.6	2	0.9%
Other values (183)	196	85.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Forested area (% of land area)
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	214
Distinct (%)	93.4%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	13
0.3/0.1	2
0.1/0.6	2
0.1/1.9	2
34.8/3.0	1
Other values (209)	209

Length

Max length	11
Median length	8
Mean length	7.537117904
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	210 ?
Unique (%)	91.7%

Sample

1st row	9.8/0.3
2nd row	5.7/2.0
3rd row	145.4/3.7
4th row	-99
5th row	0.5/6.4

Common Values

Value	Count	Frequency (%)
-99	13	5.7%
0.3/0.1	2	0.9%
0.1/0.6	2	0.9%
0.1/1.9	2	0.9%
34.8/3.0	1	0.4%
0.2/6.1	1	0.4%
242.8/8.1	1	0.4%
1705.3/11.9	1	0.4%
529.8/2.6	1	0.4%
9.6/1.7	1	0.4%
Other values (204)	204	89.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	13	5.7%
0.1/1.9	2	0.9%
0.3/0.1	2	0.9%
0.1/0.6	2	0.9%
0.5/1.4	1	0.4%
0.0/4.8	1	0.4%
0.1/9.8	1	0.4%
6.1/5.2	1	0.4%
21.5/2.1	1	0.4%
3.1/0.1	1	0.4%
Other values (204)	204	89.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

CO2 emission estimates (million tons/tons per capita)
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	155
Distinct (%)	67.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2464.262009

Minimum	-99
Maximum	101394
Zeros	23
Zeros (%)	10.0%
Negative	20
Negative (%)	8.7%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	-99
Q1	2
median	108
Q3	961
95-th percentile	8956.4
Maximum	101394
Range	101493
Interquartile range (IQR)	959

Descriptive statistics

Standard deviation	9912.891745
Coefficient of variation (CV)	4.022661434
Kurtosis	65.96304017
Mean	2464.262009
Median Absolute Deviation (MAD)	144
Skewness	7.662185624
Sum	564316
Variance	98265422.76
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	23	10.0%
-99	20	8.7%
1	12	5.2%
2	5	2.2%
3	4	1.7%
7	4	1.7%
84	3	1.3%
31	3	1.3%
19	2	0.9%
8	2	0.9%
Other values (145)	151	65.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	20	8.7%
0	23	10.0%
1	12	5.2%
2	5	2.2%
3	4	1.7%
5	2	0.9%
6	1	0.4%
7	4	1.7%
8	2	0.9%
9	2	0.9%

Value	Count	Frequency (%)
101394	1	0.4%
83887	1	0.4%
54829	1	0.4%
25904	1	0.4%
23103	1	0.4%
19481	1	0.4%
19276	1	0.4%
15282	1	0.4%
13291	1	0.4%
10948	1	0.4%

Energy production, primary (Petajoules)
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	121
Distinct (%)	52.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	80.84716157

Minimum	-99
Maximum	952
Zeros	0
Zeros (%)	0.0%
Negative	10
Negative (%)	4.4%
Memory size	1.9 KiB

Quantile statistics

Minimum	-99
5-th percentile	3.4
Q1	19
median	47
Q3	103
95-th percentile	275.8
Maximum	952
Range	1051
Interquartile range (IQR)	84

Descriptive statistics

Standard deviation	121.8082627
Coefficient of variation (CV)	1.506648598
Kurtosis	18.63050563
Mean	80.84716157
Median Absolute Deviation (MAD)	35
Skewness	3.399389597
Sum	18514
Variance	14837.25285
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-99	10	4.4%
12	6	2.6%
62	6	2.6%
20	6	2.6%
17	5	2.2%
14	4	1.7%
85	4	1.7%
28	4	1.7%
19	4	1.7%
16	4	1.7%
Other values (111)	176	76.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-99	10	4.4%
2	1	0.4%
3	1	0.4%
4	1	0.4%
5	3	1.3%
6	4	1.7%
7	4	1.7%
8	2	0.9%
9	1	0.4%
11	4	1.7%

Value	Count	Frequency (%)
952	1	0.4%
846	1	0.4%
607	1	0.4%
413	1	0.4%
380	1	0.4%
366	1	0.4%
357	1	0.4%
324	1	0.4%
303	1	0.4%
290	1	0.4%

Energy supply per capita (Gigajoules)
Categorical

HIGH CARDINALITY

Distinct	163
Distinct (%)	71.2%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

100.0/100.0	38
-99	20
.../...	5
100.0/99.0	3
99.0/99.0	3
Other values (158)	160

Length

Max length	11
Median length	9
Mean length	8.812227074
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	156 ?
Unique (%)	68.1%

Sample

1st row	78.2/47.0
2nd row	94.9/95.2
3rd row	84.3/81.8
4th row	100.0/100.0
5th row	100.0/100.0

Common Values

Value	Count	Frequency (%)
100.0/100.0	38	16.6%
-99	20	8.7%
.../...	5	2.2%
100.0/99.0	3	1.3%
99.0/99.0	3	1.3%
95.1/95.1	2	0.9%
100.0/...	2	0.9%
94.6/77.0	1	0.4%
98.9/100.0	1	0.4%
90.9/91.8	1	0.4%
Other values (153)	153	66.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
100.0/100.0	38	16.6%
99	20	8.7%
	5	2.2%
100.0/99.0	3	1.3%
99.0/99.0	3	1.3%
100.0	3	1.3%
95.1/95.1	2	0.9%
91.4/44.2	1	0.4%
89.6/54.4	1	0.4%
98.7/65.3	1	0.4%
Other values (152)	152	66.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Pop. using improved drinking water (urban/rural, %)
Categorical

HIGH CARDINALITY

Distinct	186
Distinct (%)	81.2%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	21
100.0/100.0	16
.../...	6
100.0/...	2
97.5/98.3	2
Other values (181)	182

Length

Max length	11
Median length	9
Mean length	8.462882096
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	180 ?
Unique (%)	78.6%

Sample

1st row	45.1/27.0
2nd row	95.5/90.2
3rd row	89.8/82.2
4th row	62.5/62.5
5th row	100.0/100.0

Common Values

Value	Count	Frequency (%)
-99	21	9.2%
100.0/100.0	16	7.0%
.../...	6	2.6%
100.0/...	2	0.9%
97.5/98.3	2	0.9%
98.6/98.9	2	0.9%
96.1/95.9	1	0.4%
92.2/63.3	1	0.4%
43.8/48.6	1	0.4%
99.8/100.0	1	0.4%
Other values (176)	176	76.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	21	9.2%
100.0/100.0	16	7.0%
	6	2.6%
100.0	2	0.9%
97.5/98.3	2	0.9%
98.6/98.9	2	0.9%
77.9/70.8	1	0.4%
99.9/99.8	1	0.4%
92.5/34.1	1	0.4%
33.5/8.5	1	0.4%
Other values (176)	176	76.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Pop. using improved sanitation facilities (urban/rural, %)
Categorical

HIGH CARDINALITY

Distinct	120
Distinct (%)	52.4%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	87
...	9
0.02	4
0.00	3
0.22	2
Other values (115)	124

Length

Max length	5
Median length	4
Mean length	3.689956332
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	106 ?
Unique (%)	46.3%

Sample

1st row	21.43
2nd row	2.96
3rd row	0.05
4th row	-99
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	87	38.0%
...	9	3.9%
0.02	4	1.7%
0.00	3	1.3%
0.22	2	0.9%
3.93	2	0.9%
0.47	2	0.9%
0.01	2	0.9%
0.05	2	0.9%
0.42	2	0.9%
Other values (110)	114	49.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
99	87	38.0%
	9	3.9%
0.02	4	1.7%
0.00	3	1.3%
0.42	2	0.9%
0.66	2	0.9%
1.24	2	0.9%
0.15	2	0.9%
0.97	2	0.9%
0.05	2	0.9%
Other values (110)	114	49.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Net Official Development Assist. received (% of GNI)
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.9 KiB

-99	229

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-99
2nd row	-99
3rd row	-99
4th row	-99
5th row	-99

Common Values

Value	Count	Frequency (%)
-99	229	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
99	229	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	country	Region	Surface area (km2)	Population in thousands (2017)	Population density (per km2, 2017)	Sex ratio (m per 100 f, 2017)	GDP: Gross domestic product (million current US$)	GDP growth rate (annual %, const. 2005 prices)	GDP per capita (current US$)	Economy: Agriculture (% of GVA)	Economy: Industry (% of GVA)	Economy: Services and other activity (% of GVA)	Employment: Agriculture (% of employed)	Employment: Industry (% of employed)	Employment: Services (% of employed)	Unemployment (% of labour force)	Labour force participation (female/male pop. %)	Agricultural production index (2004-2006=100)	Food production index (2004-2006=100)	International trade: Exports (million US$)	International trade: Imports (million US$)	International trade: Balance (million US$)	Balance of payments, current account (million US$)	Population growth rate (average annual %)	Urban population (% of total population)	Urban population growth rate (average annual %)	Fertility rate, total (live births per woman)	Life expectancy at birth (females/males, years)	Population age distribution (0-14 / 60+ years, %)	International migrant stock (000/% of total pop.)	Refugees and others of concern to UNHCR (in thousands)	Infant mortality rate (per 1000 live births	Health: Total expenditure (% of GDP)	Health: Physicians (per 1000 pop.)	Education: Government expenditure (% of GDP)	Education: Primary gross enrol. ratio (f/m per 100 pop.)	Education: Secondary gross enrol. ratio (f/m per 100 pop.)	Education: Tertiary gross enrol. ratio (f/m per 100 pop.)	Seats held by women in national parliaments %	Mobile-cellular subscriptions (per 100 inhabitants)	Mobile-cellular subscriptions (per 100 inhabitants).1	Individuals using the Internet (per 100 inhabitants)	Threatened species (number)	Forested area (% of land area)	CO2 emission estimates (million tons/tons per capita)	Energy production, primary (Petajoules)	Energy supply per capita (Gigajoules)	Pop. using improved drinking water (urban/rural, %)	Pop. using improved sanitation facilities (urban/rural, %)	Net Official Development Assist. received (% of GNI)
0	Afghanistan	SouthernAsia	652864	35530	54.4	106.3	20270	-2.4	623.2	23.3	23.3	53.3	61.6	10.0	28.5	8.6	19.3/83.6	125	125	1458	3568	-2110	-5121	3.2	26.7	4.0	5.3	63.5/61.0	43.2/4.1	382.4/1.2	1513.1	68.6	8.2	0.3	3.3	91.1/131.6	39.7/70.7	3.7/13.3	27.7	61.6	8.3	42	2.1	9.8/0.3	63	5	78.2/47.0	45.1/27.0	21.43	-99
1	Albania	SouthernEurope	28748	2930	106.9	101.9	11541	2.6	3984.2	22.4	26.0	51.7	41.4	18.3	40.3	15.8	40.2/61.0	134	134	1962	4669	-2707	-1222	-0.1	57.4	2.2	1.7	79.9/75.6	17.4/19.0	57.6/2.0	8.8	14.6	5.9	1.3	3.5	111.7/115.5	92.5/98.8	68.1/48.7	22.9	106.4	63.3	130	28.2	5.7/2.0	84	36	94.9/95.2	95.5/90.2	2.96	-99
2	Algeria	NorthernAfrica	2381741	41318	17.3	102.0	164779	3.8	4154.1	12.2	37.3	50.5	10.8	34.5	54.7	11.4	17.0/70.7	160	161	29992	47091	-17099	-27229	2.0	70.7	2.8	3.0	76.5/74.1	29.3/9.4	242.4/0.6	99.8	27.7	7.2	...	...	112.7/119.5	101.7/98.1	45.1/28.9	31.6	113.0	38.2	135	0.8	145.4/3.7	5900	55	84.3/81.8	89.8/82.2	0.05	-99
3	American Samoa	Polynesia	199	56	278.2	103.6	-99	-99	-99.0	-99	-99.0	-99.0	...	...	...	...	.../...	112	112	-99	-99	-99	-99	-~0.0	87.2	-0.1	2.6	77.8/71.1	33.3/9.0	23.2/41.8	-99	9.6	-99.0	-99	-99	-99	-99	-99	-99.0	...	-99	92	87.9	-99	-99	-99	100.0/100.0	62.5/62.5	-99	-99
4	Andorra	SouthernEurope	468	77	163.8	102.3	2812	0.8	39896.4	0.5	10.8	88.6	-99	-99	-99	-99	-99	-99	-99	100	1355	-1255	-99	-1.6	85.1	0.1	1.2	-99	14.4/19.0	42.1/59.7	-99	-99	8.1	3.7	3.3	-99	-99	-99	32.1	88.1	96.9	13	34.0	0.5/6.4	1	119	100.0/100.0	100.0/100.0	-99	-99
5	Angola	MiddleAfrica	1246700	29784	23.9	96.2	117955	3.0	4714.1	6.8	51.2	42.0	4.2	37.6	58.2	6.6	59.8/77.1	175	176	21011	8790	12221	-10273	3.5	44.1	5.0	6.0	63.0/57.4	46.8/4.0	106.8/0.4	45.7	65.4	3.3	...	...	100.4/156.9	22.7/35.1	8.2/10.4	38.2	60.8	12.4	146	46.5	34.8/1.4	3902	25	75.4/28.2	88.6/22.5	0.42	-99
6	Anguilla	Caribbean	91	15	165.7	97.6	320	2.9	21879.6	2.3	15.7	82.0	...	...	...	...	.../...	-99	-99	2	154	-153	-48	1.2	100.0	1.2	...	.../...	23.3/7.6	5.5/37.4	~0.0	-99	-99.0	-99	...	-99	-99	-99	-99.0	177.9	76.0	52	61.1	0.1/9.8	0	136	94.6/...	97.9/...	-99	-99
7	Antigua and Barbuda	Caribbean	442	102	231.8	92.3	1356	4.1	14764.5	1.9	18.3	79.8	...	...	...	...	.../...	88	88	61	491	-429	-204	1.1	23.8	-0.9	2.1	78.2/73.3	23.9/10.9	28.1/30.6	~0.0	9.1	5.5	-99	...	94.1/100.0	103.8/101.6	31.1/15.1	11.1	137.2	65.2	55	22.3	0.5/5.8	-99	84	97.9/97.9	91.4/91.4	0.12	-99
8	Argentina	SouthAmerica	2780400	44271	16.2	95.9	632343	2.4	14564.5	6.0	27.8	66.2	2.0	24.8	73.1	6.5	48.6/74.4	119	119	57733	55610	2124	-15944	1.0	91.8	1.0	2.3	79.8/72.2	24.9/15.4	2086.3/4.8	5.0	13.7	4.8	3.8	5.3	109.8/110.2	110.3/103.4	102.9/63.5	38.9	143.9	69.4	256	10.0	204.0/4.7	3167	85	99.0/100.0	96.2/98.3	0.01	-99
9	Armenia	WesternAsia	29743	2930	102.9	88.8	10529	3.0	3489.1	19.0	28.3	52.8	35.0	15.7	49.3	16.6	55.3/74.2	135	135	1776	3230	-1455	-279	0.3	62.7	-0.1	1.6	77.0/70.6	20.0/16.9	191.2/6.3	19.3	13.2	4.5	2.8	2.8	98.5/98.5	89.0/88.1	46.9/41.6	9.9	115.2	58.2	114	11.7	5.5/1.8	48	46	100.0/100.0	96.2/78.2	3.17	-99

Last rows

	country	Region	Surface area (km2)	Population in thousands (2017)	Population density (per km2, 2017)	Sex ratio (m per 100 f, 2017)	GDP: Gross domestic product (million current US$)	GDP growth rate (annual %, const. 2005 prices)	GDP per capita (current US$)	Economy: Agriculture (% of GVA)	Economy: Industry (% of GVA)	Economy: Services and other activity (% of GVA)	Employment: Agriculture (% of employed)	Employment: Industry (% of employed)	Employment: Services (% of employed)	Unemployment (% of labour force)	Labour force participation (female/male pop. %)	Agricultural production index (2004-2006=100)	Food production index (2004-2006=100)	International trade: Exports (million US$)	International trade: Imports (million US$)	International trade: Balance (million US$)	Balance of payments, current account (million US$)	Population growth rate (average annual %)	Urban population (% of total population)	Urban population growth rate (average annual %)	Fertility rate, total (live births per woman)	Life expectancy at birth (females/males, years)	Population age distribution (0-14 / 60+ years, %)	International migrant stock (000/% of total pop.)	Refugees and others of concern to UNHCR (in thousands)	Infant mortality rate (per 1000 live births	Health: Total expenditure (% of GDP)	Health: Physicians (per 1000 pop.)	Education: Government expenditure (% of GDP)	Education: Primary gross enrol. ratio (f/m per 100 pop.)	Education: Secondary gross enrol. ratio (f/m per 100 pop.)	Education: Tertiary gross enrol. ratio (f/m per 100 pop.)	Seats held by women in national parliaments %	Mobile-cellular subscriptions (per 100 inhabitants)	Mobile-cellular subscriptions (per 100 inhabitants).1	Individuals using the Internet (per 100 inhabitants)	Threatened species (number)	Forested area (% of land area)	CO2 emission estimates (million tons/tons per capita)	Energy production, primary (Petajoules)	Energy supply per capita (Gigajoules)	Pop. using improved drinking water (urban/rural, %)	Pop. using improved sanitation facilities (urban/rural, %)	Net Official Development Assist. received (% of GNI)
219	Uruguay	SouthAmerica	173626	3457	19.8	93.5	53442	1.0	15573.8	6.8	28.0	65.2	8.7	20.5	70.8	8.8	55.6/76.3	129	130	6964	8137	-1173	-1141	0.3	95.3	0.5	2.0	80.4/73.2	21.1/19.5	71.8/2.1	0.5	12.7	8.6	...	4.4	107.3/109.8	100.0/90.3	.../...	20.2	160.2	64.6	106	10.4	6.7/2.0	113	58	100.0/93.9	96.6/92.6	0.04	-99
220	Uzbekistan	CentralAsia	448969	31911	75.0	99.4	69004	6.8	2308.3	19.2	32.9	47.9	29.0	23.9	47.1	8.9	48.5/76.6	158	174	27947	25652	2295	-99	1.6	36.4	1.4	2.4	73.5/68.1	28.0/7.6	1170.9/3.9	86.7	31.3	5.8	2.5	-99	103.2/105.6	95.1/96.8	7.1/11.0	16.0	73.3	42.8	59	7.6	105.2/3.6	2339	62	98.5/80.9	100.0/100.0	0.66	-99
221	Vanuatu	Melanesia	12189	276	22.7	102.4	737	-1.0	2783.0	26.7	8.4	64.9	61.4	6.8	31.8	5.3	61.7/80.5	123	122	50	416	-366	-82	2.3	26.1	3.4	3.4	73.6/69.4	35.9/6.7	3.2/1.2	~0.0	24.3	5.0	0.2	5.5	118.7/120.6	56.4/53.4	.../...	0.0	66.2	22.4	137	36.1	0.2/0.6	1	12	98.9/92.9	65.1/55.4	12.32	-99
222	Venezuela (Bolivarian Republic of)	SouthAmerica	912050	31977	36.3	99.0	344331	-6.2	11068.9	5.3	44.7	50.0	11.9	26.8	61.3	6.6	51.5/78.3	118	119	19731	16324	3407	-20360	1.4	89.0	1.5	2.4	78.2/69.9	27.6/9.9	1404.4/4.5	174.2	13.8	5.3	...	...	98.6/101.3	93.0/86.5	.../...	22.2	93.0	61.9	328	53.1	185.2/6.1	7460	90	95.0/77.9	97.5/69.9	0.01	-99
223	Viet Nam	South-easternAsia	330967	95541	308.1	98.0	193241	6.7	2067.9	18.9	37.0	44.2	41.8	22.9	35.2	2.2	73.9/83.3	136	134	176632	174111	2520	906	1.1	33.6	3.0	2.0	80.3/70.7	23.1/11.1	72.8/0.1	11.0	19.3	7.1	1.2	5.7	108.4/109.3	-99	28.9/28.8	26.7	130.6	52.7	616	47.2	166.9/1.8	2977	30	99.1/96.9	94.4/69.7	1.73	-99
224	Wallis and Futuna Islands	Polynesia	142	12	84.1	93.4	-99	-99	-99.0	-99	-99.0	-99.0	-99	-99	-99	-99	-99	115	115	1	53	-51	-99	-2.1	0.0	0.0	2.1	78.7/72.8	25.5/15.4	2.8/21.7	-99	...	-99.0	-99	-99	-99	-99	-99	-99.0	-99	9.0	89	41.6	~0.0/1.6	-99	26	-99	-99	-99	-99
225	Western Sahara	NorthernAfrica	266000	553	2.1	110.1	-99	-99	-99.0	-99	-99.0	-99.0	37.4	27.9	34.7	6.8	28.6/83.3	100	100	-99	-99	-99	-99	1.8	80.9	3.3	2.6	70.3/66.9	28.1/5.4	5.2/0.9	-99	34.1	-99.0	-99	-99	-99	-99	-99	-99.0	-99	-99	49	2.7	-99	-99	-99	-99	-99	-99	-99
226	Yemen	WesternAsia	527968	28250	53.5	102.1	29688	-28.1	1106.4	14.7	36.9	48.4	32.9	17.9	49.2	16.1	26.2/73.7	136	137	570	6861	-6291	-3026	2.6	34.6	4.0	4.4	65.6/62.8	39.9/4.6	344.1/1.3	3371.4	47.2	5.6	0.3	...	88.9/105.7	39.5/57.4	6.1/13.7	0.0	68.0	25.1	298	1.0	22.7/0.9	668	12	72.0/46.5	92.5/34.1	2.99	-99
227	Zambia	EasternAfrica	752612	17094	23.0	98.5	21255	2.9	1311.1	8.2	32.3	59.5	54.8	9.9	35.3	7.4	69.9/80.9	179	180	6505	7442	-937	-768	3.0	40.9	4.3	5.2	61.9/57.5	44.8/3.7	127.9/0.8	55.3	53.8	5.0	0.2	...	104.0/103.3	-99	3.4/4.5	18.0	74.5	21.0	88	65.6	4.5/0.3	374	26	85.6/51.3	55.6/35.7	3.96	-99
228	Zimbabwe	EasternAfrica	390757	16530	42.7	95.0	13893	1.1	890.4	13.0	30.5	56.5	67.5	7.3	25.2	5.0	78.0/87.5	99	98	2832	5212	-2379	-1521	2.3	32.4	2.3	4.0	59.0/56.1	41.2/4.2	398.9/2.6	308.6	46.5	6.0	0.1	8.4	99.1/100.8	47.1/48.1	8.0/8.9	32.6	84.8	16.4	89	37.2	12.0/0.8	482	30	97.0/67.3	49.3/30.8	6.00	-99

Overview

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